R has been the language of choice for predictive analysis due to its innumerable packages and strong developer community. In this series, we will demonstrate how to use R in various stages of predictive analysis and discuss the packages available in R for generating a predictive model for one of the datasets available in the UC Irvine machine learning dataset.
Morgan is the newest member of the Engineering team. She started off her career in design and then transitioned into development. In her spare time she enjoys snowshoeing, hiking, adding to her goal to summit all of Colorado’s 14ers, running, and drinking local libations on patios.
User testing can be a bit elusive with “real world work,” very often because stakeholders haven’t ever had a chance to appreciate its value when developing products.
Here's the story of one of our own applications and the methodology behind the user testing we completed.
Abraham’s first taste of programming was writing his own violent choose-your-adventure game on his TI-82 calculator during algebra class in high school. He studied engineering at the University of Illinois at Urbana-Champaign and has solved problems using software in domains including advertising and accounting. He is continually chasing the goal of writing clean code.
Emily is a software developer. She loves TDD philosophy (but isn’t a jerk about it). Emily thinks that Git is the safety rope on your high-wire. She loves breaking down chaotic complexity into highly understandable portions.